ArticleFrontiers in neurology2020
Image Patch-Based Net Water Uptake and Radiomics Models Predict Malignant Cerebral Edema After Ischemic Stroke.
Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Predictive Value of Machine Learning Models for Cerebral Edema Risk in Stroke Patients: A Meta-Analysis.Brain and behavior · 2025Pooled it
- Net water uptake as a predictive neuroimaging marker for acute ischemic stroke outcomes: a meta-analysis.European radiology · 2024Pooled it
- Malignant Cerebral Edema after Large-Core Anterior Circulation Stroke in the Thrombectomy Era: Prediction and Neurocritical Care Pathways.Neurocritical care · 2026Review
- Clinical evaluation of an automated Alberta Stroke Program Early Computed Tomography Score (ASPECTS)-scoring system.Quantitative imaging in medicine and surgery · 2026Article
- Radiomics model based on dual-energy CTA reconstructed images of infarcted brain tissue to predict malignant cerebral edema in stroke patients.Neuroradiology · 2026Article
- Leveraging infarct topography for early warning: a robust model for predicting malignant cerebral edema after endovascular treatment in acute ischemic stroke.BMC medical imaging · 2026Article
- Automated detection of severe cerebral edema using explainable deep transfer learning after hypoxic ischemic brain injury.Resuscitation · 2025Article
- Predicting malignant cerebral edema after acute ischemic stroke: a machine-learning model with multi-region radiomics.Quantitative imaging in medicine and surgery · 2025Article
- Predictive value of net water uptake for early neurological deterioration after mechanical thrombectomy in acute ischemic stroke with large vessel occlusion.Frontiers in neurology · 2025Article
- The impracticality of radiomics research in acute ischemic stroke: from the perspective of primary healthcare institutions.Frontiers in neurology · 2025Review
- Radiomics signature and deep learning signature of intrathrombus and perithrombus for prediction of malignant cerebral edema after acute ischemic stroke: a multicenter CT study.Frontiers in neurology · 2025Article
- Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT.NPJ digital medicine · 2024Article
- Application of radiomics in ischemic stroke.The Journal of international medical research · 2024Review
- MRI-based clinical-radiomics nomogram to predict early neurological deterioration in isolated acute pontine infarction: a two-center study in Northeast China.BMC neurology · 2024Article
- Association Between Net Water Uptake and Functional Outcome in Patients With Low ASPECTS Brain Lesions: Results From the I-LAST Study.Neurology · 2023Observational
- Net water uptake within the ischemic penumbra predicts the presence of the midline shift in patients with acute ischemic stroke.Frontiers in neurology · 2023Article
- Automated Measurement of Net Water Uptake From Baseline and Follow-Up CTs in Patients With Large Vessel Occlusion Stroke.Frontiers in neurology · 2022Article
- Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging.Frontiers in neurology · 2021Review
- Clinical software for unsupervised automated net water uptake analysis predicts futile recanalization in acute ischemic stroke.Frontiers in neurologyArticle
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malignant cerebral edema (MCE) after an ischemic stroke results in a poor outcome or death. Early prediction of MCE helps to identify subjects that could benefit from a surgical decompressive craniectomy. Net water uptake (NWU) in an ischemic lesion is a predictor of MCE; however, CT perfusion and lesion segmentation are required. This paper proposes a new Image Patch-based Net Water Uptake (IP-NWU) procedure that only uses non-enhanced admission CT and does not need lesion segmentation. IP-NWU is calculated by comparing the density of ischemic and contralateral normal patches selected from the middle cerebral artery (MCA) area using standard reference images. We also compared IP-NWU with the Segmented Region-based NWU (SR-NWU) procedure in which segmented ischemic regions from follow-up CT images are overlaid onto admission images. Furthermore, IP-NWU and its combination with imaging features are used to construct predictive models of MCE with a radiomics approach. In total, 116 patients with an MCA infarction (39 with MCE and 77 without MCE) were included in the study. IP-NWU was significantly higher for patients with MCE than those without MCE (
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